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Sarandi
City in Paraná, Brazil
Overview
Sarandi is a growing city in Paraná, Brazil, known for its welcoming community, relaxed pace of life, and proximity to Maringá. While primarily residential, it offers lively markets and green spaces ideal for families and visitors seeking a glimpse of everyday Brazilian life.
Geographic Context
Jurisdiction
Brazil
State
Paraná
Population
128,106
Time Zone
America/Sao_Paulo
Coordinates
-23.44°, -51.87°
Key Metrics
Safety Score
50
Female Safety
45
LGBTQ+ Safety
35
Traffic Safety
60
Food Safety
65
Monthly Cost
$696
Local Cost
$414
Local Income
$420
Cashless
60
English
25
Temperature
22.1°C
Summer Avg
25.0°C
Winter Avg
18.1°C
Record High
41.8°C
Record Low
-1.9°C
Humidity
74%
Precipitation
1529 mm
Internet Speed
255 Mbps
Upload
231 Mbps
Latency
8 ms
City Vibrancy
20
Coworking
0
Cafes
0
Nightlife
3
Parks
17
Transport
0
Walk Score
0
Footways
—
Airport
MGF
Distance
15 km
Explore
Neighborhoods
Mapped114 neighborhoods sourced from Overture Maps and OpenStreetMap.
View all 114 neighborhoodsFrequently Asked Questions
Data sources
Source-backed data
NASA POWER - Climate normals and monthly weather measurements rendered as city weather metrics. Updated 2026-03-22.
World Air Quality Index - Latest available city-level air quality station measurement. Updated 2025-12-05.
Ookla Open Data - Internet speed aggregates for 2024Q3 from 127 tests. Updated 2025-12-05.
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Updated 2025-12-06.
OpenStreetMap transport extract - Walkability, footway density, and airport access metrics derived from mapped transport features. Updated 2025-12-05.
Oyster List city price model - City price estimates calibrated from local price surveys and jurisdiction-level cost signals. Updated 2026-01-14.
Overture Maps and OpenStreetMap - 114 source-backed neighborhood entities are available for this city. Updated 2026-03-21.
Estimated data
Oyster List AI-assisted estimates - Safety, lifestyle, income, and practical scores are model-assisted estimates derived from source-backed country and city signals. Confidence 63/100.
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